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AIML - Sr. Full Stack Engineer, Compute Capacity and Efficiency - ML Platform Technologies

Apple

$147,400 - $272,100
Oct 17, 2025
Santa Clara, CA, US
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Apple's large-scale serverless platform needs to ensure compute resources are optimally distributed throughout the company, requiring development of demand and capacity planning systems, innovation in forecasting, optimization, and supply chain management tooling, and distillation of complex data into visualizations to guide strategies.

Requirements

  • Experience working with modern web frameworks like React
  • Comfortable with RESTful APIs and storage technologies e.g. S3, Trino, PostgreSQL, Elasticsearch
  • Familiarity with Enterprise Resource Planning (ERP) systems
  • Experience developing machine learning models

Responsibilities

  • build systems that ensure compute resources are optimally distributed throughout the company
  • developing demand and capacity planning system
  • driving innovation in forecasting, optimization and supply chain management tooling that work at scale
  • distilling complex data into easy-to-interpret and low-latency visualizations that guide strategies
  • build services that scale, stay highly available and "just work"

Other

  • 5+ years of experience with Bachelor’s degree or higher in Engineering, Mathematics, Economics or a related quantitative field
  • Must have strong CS fundamentals
  • Excellent problem-framing and problem-solving skills
  • engaging cross-functionally with finance analysts, supply chain managers, data center operations, compute infra engineers and more
  • Our team works in an iterative and fast-paced environment, and we’re passionate about learning new technologies and knowledge sharing.